Evaluating the Performance of Hand-Based Probabilistic Text Input Methods on a Mid-Air Virtual Qwerty Keyboard
Author:
Affiliation:
1. University of Cambridge, USA
2. Reality Labs Research, Meta Inc., USA
Funder
Reality Labs Research
Meta Inc.
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Signal Processing,Software
Link
http://xplorestaging.ieee.org/ielx7/2945/10305180/10272271.pdf?arnumber=10272271
Reference61 articles.
1. Understanding, Detecting and Mitigating the Effects of Coactivations in Ten-Finger Mid-Air Typing in Virtual Reality
2. Effects of Language Modeling and its Personalization on Touchscreen Typing Performance
3. ATK
4. Statistical Keyboard Decoding
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